AMO / Quantum Information Physicist for AI Training
$80 - $160 per hourSaidGig
Role Overview
Apply advanced AMO and quantum information expertise to help train next-generation AI systems through research-focused benchmarking of quantum-optical concepts. This work focuses on cascaded optical parametric amplifiers, SU(1, 1) interferometers, loss effects, and two-mode squeezing. Assignments may involve Solver, Auditor, or Adjudicator work, matched to your specialization, experience, and demonstrated hands-on capability with the required methods. Prior AI experience is not required.
Key Responsibilities
- Analyze and model cascaded optical parametric amplifiers and SU(1, 1) interferometric systems under realistic loss mechanisms.
- Use Bogoliubov transformations and covariance-matrix methods to quantify quantum correlations and noise properties.
- Derive and interpret sideband photocurrent spectra using homodyne-detection methods.
- Implement and evaluate loss models based on fictitious beamsplitters, benchmarking them against theoretical and experimental scenarios.
- Apply squeeze-parameter hyperbolic identities to characterize entanglement and squeezing performance in lossy quantum systems.
Qualifications
- Advanced degree, PhD or equivalent experience, in Atomic, Molecular, and Optical Physics, Quantum Optics, or Quantum Information Science.
- Proven expertise in physics, Bogoliubov transformations, covariance-matrix formalism, and quantum-noise analysis.
- Hands-on familiarity with sideband spectra, homodyne detection, and quantum-optical loss modeling.
- Demonstrated practical research or experimental-analysis experience applying squeeze-parameter hyperbolic identities.
- Experience with cascaded parametric amplifiers, SU(1, 1) interferometry, or two-mode squeezing is highly valued.
Work Terms
- Remote contract engagement.
Compensation
- $80 to $160 per hour.
Vacancy posted more than 2 months ago
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